Influence of Artificial Intelligence Technology Intensity Perception on Employees Turnover Intention: A Moderated Mediation Model

CHEN Chen

doi:10.12152/j.issn.1672-2868.2021.06.005

2021 , Vol. 23 >Issue 6: 31 - 41

DOI: https://doi.org/10.12152/j.issn.1672-2868.2021.06.005

Influence of Artificial Intelligence Technology Intensity Perception on Employees Turnover Intention: A Moderated Mediation Model

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School of Business, Anhui University, Hefei Anhui 230601

CHEN Chen：School of Business, Anhui University

Received date: 2021-05-27

Online published: 2022-03-05

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Abstract

With the rapid development and wide application of artificial intelligence technology, artificial intelligence has penetrated all areas of social life in our country. Meanwhile, artificial intelligence also poses new challenges to labor substitution and economic theory. The paper discusses the relationship between the use of artificial intelligence and employee turnover intention from a micro perspective, and on this basis, puts forward a moderated mediation model to investigate the mediating effect of job insecurity and the moderating effect of training investment. A survey of 398 front-line employees in industries that are closely related to artificial intelligence shows that the perception of artificial intelligence technology intensity has a significant positive impact on employees忆 turnover intention; job insecurity partially mediates the perception of artificial intelligence technology intensity and turnover intention; high investment in training will slow down the positive relationship between artificial intelligence technology intensity perception and job insecurity, and also adjust the indirect effect of artificial intelligence technology intensity perception on turnover intention through job insecurity.

Key words： artificial intelligence; training investment; job insecurity; turnover intention

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CHEN Chen . Influence of Artificial Intelligence Technology Intensity Perception on Employees Turnover Intention: A Moderated Mediation Model[J]. Journal of Chaohu University, 2021 , 23(6) : 31 -41 . DOI: 10.12152/j.issn.1672-2868.2021.06.005

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